#scala

https://github.com/apache/spark

#scala

https://github.com/polynote/polynote

#scala

https://github.com/WeBankFinTech/Linkis

#rust #arrow #dataframe #datafusion #distributed #java #jvm #kotlin #kubernetes #scala #spark

https://github.com/ballista-compute/ballista

#scala #analytics #data #data_collection #data_pipeline #marketing_analytics #product_analytics #snowplow #snowplow_events #snowplow_pipeline

https://github.com/snowplow/snowplow

#scala #chisel3 #risc_v #microarchitecture

https://github.com/OpenXiangShan/XiangShan

#scala #ai #apache_spark #azure #big_data #cognitive_services #data_science #databricks #deep_learning #http #lightgbm #machine_learning #microsoft #ml #model_deployment #onnx #opencv #pyspark #spark #synapse

https://github.com/microsoft/SynapseML

#scala #flix #functional #hacktoberfest #imperative #jvm #language #logic #programming_language

https://github.com/flix/flix

#scala

https://github.com/LEGO/woof

#scala #data_engineering #data_science #deep_learning #feature_engineering #feature_extraction #kubernetes #machine_learning #personalization #ranking #search

https://github.com/metarank/metarank

#scala #artificial_intelligence #feature_engineering #feature_store #mlops

https://github.com/linkedin/feathr

#scala #etl_pipeline #flink #one_stop_solution #spark #streaming #streaming_warehouse #streamx

https://github.com/streamxhub/streamx

#scala #akka #akka_http #declarative #documentation #functional_programming #http #http_client #http_requests #http_server #http4s #observability #openapi #play_framework #sttp #type_safe #zio

https://github.com/softwaremill/tapir

#scala #actor_model #akka #cloud_native #concurrency #distributed_actors #distributed_systems #hacktoberfest #high_performance #reactive #streaming

https://github.com/akka/akka

#scala #distributed_systems #finagle #http #http2 #java #memcached #mysql #redis #rpc #thrift #zipkin

https://github.com/twitter/finagle

#scala #clickhouse #simd #spark_sql #vectorization #velox

https://github.com/oap-project/gluten

#scala #big_data #gpu #rapids #spark

https://github.com/NVIDIA/spark-rapids

#java #kafka #scala

To use Apache Kafka, you need to have Java installed. Here’s what you can do Use commands like `./gradlew jar` to build a jar file and follow the quickstart guide for running Kafka.
- **Testing** Use tools like Checkstyle and Spotbugs to ensure your code meets standards.
- **Dependency Management** You can contribute to Kafka by following the guidelines on the Apache Kafka website.

This helps you build, test, and maintain high-quality code for Apache Kafka, making it easier to work with the project.

https://github.com/apache/kafka

#scala #chisel #microarchitecture #risc_v

XiangShan is an open-source project for a high-performance RISC-V processor. It offers detailed documentation, technical slides, and tutorials to help users understand and work with the processor. The project uses agile development methods, which makes it faster and more efficient to develop and test the chip. Users can access various versions of the processor's micro-architecture, such as Yanqihu, Nanhu, and the ongoing development of Kunminghu. The project also provides tools for simulation, debugging, and performance validation, making it beneficial for developers and researchers who need a flexible and powerful processor design.

https://github.com/OpenXiangShan/XiangShan

#scala

X's Recommendation Algorithm uses machine learning to show you posts and content you are most likely to engage with across its platform, including the "For You" timeline and notifications. It gathers a large pool of posts from people you follow and others you might like, then ranks them by predicting your interest based on your past actions like likes, clicks, and replies. It also filters out unwanted content and mixes in sponsored posts to keep your feed relevant and diverse. This means your feed is personalized to show you the most interesting and safe content, improving your experience on X.

https://github.com/twitter/the-algorithm